Basic innovations are often believed to be the drivers of economic growth. It has been widely documented that economic growth follows cyclical patterns of varying length. In this paper we examine if such patterns are also present in basic innovations. For an annual time series of count data...

We propose a new method of leading index construction that combines the need for data compression with the objective of forecasting. This so-called principal covariate index is constructed to forecast growth rates of the Composite Coincident Index. The forecast performance is compared with an...

Trends and cyclical components in economic time series are modeled in a Bayesian framework. This enables prior notions about the duration of cycles to be used, while the generalized class of stochastic cycles employed allows the possibility of relatively smooth cycles being extracted. The...